Overview

Brought to you by YData

Dataset statistics

Number of variables	43
Number of observations	213053
Missing cells	321107
Missing cells (%)	3.5%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	62.8 MiB
Average record size in memory	309.0 B

Variable types

Numeric	13
Boolean	6
Text	6
Unsupported	2
Categorical	14
DateTime	2

Alerts

`other_death_count` has constant value "0"	Constant
`private_dr_fl` has constant value "False"	Constant
`Is deleted` has constant value "False"	Constant
`Crash ID` is highly overall correlated with `Is temporary record`	High correlation
`Is temporary record` is highly overall correlated with `Crash ID` and 2 other fields	High correlation
`Law enforcement fatality count` is highly overall correlated with `crash_fatal_fl` and 2 other fields	High correlation
`bicycle_serious_injury_count` is highly overall correlated with `sus_serious_injry_cnt`	High correlation
`crash_fatal_fl` is highly overall correlated with `Law enforcement fatality count` and 4 other fields	High correlation
`crash_sev_id` is highly overall correlated with `crash_fatal_fl` and 2 other fields	High correlation
`crash_speed_limit` is highly overall correlated with `onsys_fl`	High correlation
`death_cnt` is highly overall correlated with `Law enforcement fatality count` and 3 other fields	High correlation
`motor_vehicle_death_count` is highly overall correlated with `Law enforcement fatality count` and 2 other fields	High correlation
`motor_vehicle_serious_injury_count` is highly overall correlated with `sus_serious_injry_cnt`	High correlation
`nonincap_injry_cnt` is highly overall correlated with `crash_sev_id` and 1 other fields	High correlation
`onsys_fl` is highly overall correlated with `crash_speed_limit` and 1 other fields	High correlation
`pedestrian_death_count` is highly overall correlated with `crash_fatal_fl` and 1 other fields	High correlation
`pedestrian_serious_injury_count` is highly overall correlated with `sus_serious_injry_cnt`	High correlation
`poss_injry_cnt` is highly overall correlated with `tot_injry_cnt`	High correlation
`road_constr_zone_fl` is highly overall correlated with `Is temporary record`	High correlation
`rpt_street_sfx` is highly overall correlated with `Is temporary record` and 1 other fields	High correlation
`sus_serious_injry_cnt` is highly overall correlated with `bicycle_serious_injury_count` and 2 other fields	High correlation
`tot_injry_cnt` is highly overall correlated with `crash_sev_id` and 2 other fields	High correlation
`crash_fatal_fl` is highly imbalanced (95.0%)	Imbalance
`road_constr_zone_fl` is highly imbalanced (72.6%)	Imbalance
`death_cnt` is highly imbalanced (97.8%)	Imbalance
`motor_vehicle_death_count` is highly imbalanced (98.9%)	Imbalance
`bicycle_death_count` is highly imbalanced (99.7%)	Imbalance
`bicycle_serious_injury_count` is highly imbalanced (99.1%)	Imbalance
`pedestrian_death_count` is highly imbalanced (98.7%)	Imbalance
`pedestrian_serious_injury_count` is highly imbalanced (98.3%)	Imbalance
`motorcycle_death_count` is highly imbalanced (99.4%)	Imbalance
`motorcycle_serious_injury_count` is highly imbalanced (97.1%)	Imbalance
`other_serious_injury_count` is highly imbalanced (> 99.9%)	Imbalance
`micromobility_serious_injury_count` is highly imbalanced (99.8%)	Imbalance
`micromobility_death_count` is highly imbalanced (> 99.9%)	Imbalance
`Is temporary record` is highly imbalanced (> 99.9%)	Imbalance
`Law enforcement fatality count` is highly imbalanced (98.7%)	Imbalance
`case_id` has 2905 (1.4%) missing values	Missing
`rpt_block_num` has 28653 (13.4%) missing values	Missing
`rpt_street_sfx` has 65296 (30.6%) missing values	Missing
`latitude` has 3730 (1.8%) missing values	Missing
`longitude` has 3731 (1.8%) missing values	Missing
`point` has 3731 (1.8%) missing values	Missing
`Reported street prefix` has 213053 (100.0%) missing values	Missing
`ID` has unique values	Unique
`rpt_block_num` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Reported street prefix` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`crash_speed_limit` has 11335 (5.3%) zeros	Zeros
`crash_sev_id` has 15401 (7.2%) zeros	Zeros
`sus_serious_injry_cnt` has 206553 (96.9%) zeros	Zeros
`nonincap_injry_cnt` has 167293 (78.5%) zeros	Zeros
`poss_injry_cnt` has 159987 (75.1%) zeros	Zeros
`non_injry_cnt` has 36771 (17.3%) zeros	Zeros
`unkn_injry_cnt` has 191633 (89.9%) zeros	Zeros
`tot_injry_cnt` has 115902 (54.4%) zeros	Zeros
`motor_vehicle_serious_injury_count` has 208893 (98.0%) zeros	Zeros

Reproduction

Analysis started	2024-12-04 17:36:10.146501
Analysis finished	2024-12-04 17:40:21.122354
Duration	4 minutes and 10.98 seconds
Software version	ydata-profiling vv4.12.0
Download configuration	config.json

ID
Real number (ℝ)

Unique

Distinct	213053
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	226675.19

Minimum	2
Maximum	1344636
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.6 MiB

Quantile statistics

Minimum	2
5-th percentile	20001.6
Q1	103633
median	220467
Q3	338412
95-th percentile	411616.8
Maximum	1344636
Range	1344634
Interquartile range (IQR)	234779

Descriptive statistics

Standard deviation	165138.66
Coefficient of variation (CV)	0.7285255
Kurtosis	14.732015
Mean	226675.19
Median Absolute Deviation (MAD)	117446
Skewness	2.5013611
Sum	4.8293829 × 10¹⁰
Variance	2.7270776 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1344010	1	< 0.1%
1189	1	< 0.1%
6156	1	< 0.1%
9933	1	< 0.1%
912	1	< 0.1%
2282	1	< 0.1%
2680	1	< 0.1%
1294	1	< 0.1%
1661	1	< 0.1%
186	1	< 0.1%
Other values (213043)	213043	> 99.9%

Value	Count	Frequency (%)
2	1	< 0.1%
16	1	< 0.1%
19	1	< 0.1%
39	1	< 0.1%
40	1	< 0.1%
41	1	< 0.1%
42	1	< 0.1%
43	1	< 0.1%
44	1	< 0.1%
45	1	< 0.1%

Value	Count	Frequency (%)
1344636	1	< 0.1%
1344635	1	< 0.1%
1344606	1	< 0.1%
1344605	1	< 0.1%
1344604	1	< 0.1%
1344601	1	< 0.1%
1344584	1	< 0.1%
1344514	1	< 0.1%
1344513	1	< 0.1%
1344512	1	< 0.1%

Crash ID
Real number (ℝ)

High correlation

Distinct	213051
Distinct (%)	100.0%
Missing	2
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	15818390

Minimum	11152580
Maximum	20522696
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.6 MiB

Quantile statistics

Minimum	11152580
5-th percentile	11799524
Q1	13662434
median	15787017
Q3	17932416
95-th percentile	19947354
Maximum	20522696
Range	9370116
Interquartile range (IQR)	4269981

Descriptive statistics

Standard deviation	2562075.9
Coefficient of variation (CV)	0.16196818
Kurtosis	-1.1135965
Mean	15818390
Median Absolute Deviation (MAD)	2130891
Skewness	0.044457222
Sum	3.3701238 × 10¹²
Variance	6.5642329 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
13773522	1	< 0.1%
13852453	1	< 0.1%
13656594	1	< 0.1%
13688135	1	< 0.1%
13699847	1	< 0.1%
13665835	1	< 0.1%
13671384	1	< 0.1%
13634898	1	< 0.1%
13688474	1	< 0.1%
13705363	1	< 0.1%
Other values (213041)	213041	> 99.9%
(Missing)	2	< 0.1%

Value	Count	Frequency (%)
11152580	1	< 0.1%
11153849	1	< 0.1%
11154056	1	< 0.1%
11154058	1	< 0.1%
11154059	1	< 0.1%
11154064	1	< 0.1%
11154065	1	< 0.1%
11154069	1	< 0.1%
11154070	1	< 0.1%
11154229	1	< 0.1%

Value	Count	Frequency (%)
20522696	1	< 0.1%
20522695	1	< 0.1%
20521817	1	< 0.1%
20521503	1	< 0.1%
20521477	1	< 0.1%
20521472	1	< 0.1%
20521470	1	< 0.1%
20521469	1	< 0.1%
20521468	1	< 0.1%
20521466	1	< 0.1%

crash_fatal_fl
Boolean

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	208.2 KiB

False	211865
True	1188

Value	Count	Frequency (%)
False	211865	99.4%
True	1188	0.6%

case_id
Text

Missing

Distinct	209709
Distinct (%)	99.8%
Missing	2905
Missing (%)	1.4%
Memory size	1.6 MiB

Length

Max length	20
Median length	9
Mean length	9.109185
Min length	1

Characters and Unicode

Total characters	1914277
Distinct characters	73
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	209275 ?
Unique (%)	99.6%

Sample

1st row	140221383
2nd row	140940460
3rd row	141440943
4th row	140100795
5th row	140291414

Value	Count	Frequency (%)
tx	312	0.1%
10	53	< 0.1%
	9	< 0.1%
go	6	< 0.1%
2023	5	< 0.1%
23	4	< 0.1%
100	4	< 0.1%
2024-799354	3	< 0.1%
130700836	3	< 0.1%
hcso	3	< 0.1%
Other values (209796)	210240	99.8%

Most occurring characters

Value	Count	Frequency (%)
1	433455	22.6%
0	297887	15.6%
2	264384	13.8%
3	177072	9.3%
4	135834	7.1%
5	121773	6.4%
6	117871	6.2%
7	112777	5.9%
9	112588	5.9%
8	112085	5.9%
Other values (63)	28551	1.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1914277	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	433455	22.6%
0	297887	15.6%
2	264384	13.8%
3	177072	9.3%
4	135834	7.1%
5	121773	6.4%
6	117871	6.2%
7	112777	5.9%
9	112588	5.9%
8	112085	5.9%
Other values (63)	28551	1.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1914277	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	433455	22.6%
0	297887	15.6%
2	264384	13.8%
3	177072	9.3%
4	135834	7.1%
5	121773	6.4%
6	117871	6.2%
7	112777	5.9%
9	112588	5.9%
8	112085	5.9%
Other values (63)	28551	1.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1914277	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	433455	22.6%
0	297887	15.6%
2	264384	13.8%
3	177072	9.3%
4	135834	7.1%
5	121773	6.4%
6	117871	6.2%
7	112777	5.9%
9	112588	5.9%
8	112085	5.9%
Other values (63)	28551	1.5%

Primary address
Text

Distinct	81683
Distinct (%)	38.3%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

Length

Max length	54
Median length	46
Mean length	18.193708
Min length	2

Characters and Unicode

Total characters	3876224
Distinct characters	42
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	56780 ?
Unique (%)	26.7%

Sample

1st row	NOT REPORTED HWY
2nd row	6600 N NOT REPORTED HWY
3rd row	STONELAKE BLVD
4th row	E OLD EAST RIVERSIDE DR DR
5th row	1000 NOT REPORTED HWY

Value	Count	Frequency (%)
n	52456	5.7%
e	38614	4.2%
blvd	37424	4.1%
s	35680	3.9%
rd	30253	3.3%
st	28480	3.1%
w	27679	3.0%
ln	26449	2.9%
hwy	24220	2.6%
35	23566	2.6%
Other values (11192)	597036	64.8%

Most occurring characters

Value	Count	Frequency (%)
	708804	18.3%
0	379434	9.8%
E	222638	5.7%
R	221368	5.7%
N	195668	5.0%
S	188873	4.9%
D	157568	4.1%
A	148760	3.8%
L	138881	3.6%
T	132508	3.4%
Other values (32)	1381722	35.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3876224	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	708804	18.3%
0	379434	9.8%
E	222638	5.7%
R	221368	5.7%
N	195668	5.0%
S	188873	4.9%
D	157568	4.1%
A	148760	3.8%
L	138881	3.6%
T	132508	3.4%
Other values (32)	1381722	35.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3876224	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	708804	18.3%
0	379434	9.8%
E	222638	5.7%
R	221368	5.7%
N	195668	5.0%
S	188873	4.9%
D	157568	4.1%
A	148760	3.8%
L	138881	3.6%
T	132508	3.4%
Other values (32)	1381722	35.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3876224	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	708804	18.3%
0	379434	9.8%
E	222638	5.7%
R	221368	5.7%
N	195668	5.0%
S	188873	4.9%
D	157568	4.1%
A	148760	3.8%
L	138881	3.6%
T	132508	3.4%
Other values (32)	1381722	35.6%

Secondary address
Text

Distinct	65487
Distinct (%)	30.7%
Missing	2
Missing (%)	< 0.1%
Memory size	1.6 MiB

Length

Max length	64
Median length	47
Mean length	15.904948
Min length	1

Characters and Unicode

Total characters	3388565
Distinct characters	42
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	46177 ?
Unique (%)	21.7%

Sample

1st row	NOT REPORTED
2nd row	ST JOHNS
3rd row	NOT REPORTED
4th row	PLEASANT VALLEY RD
5th row	E E 8TH TO IH 35 NB RAMP

Value	Count	Frequency (%)
dr	41493	5.5%
st	41037	5.4%
e	39186	5.2%
ln	32883	4.4%
rd	29891	4.0%
blvd	24826	3.3%
w	23860	3.2%
n	18791	2.5%
s	15493	2.1%
ave	10806	1.4%
Other values (10948)	477156	63.2%

Most occurring characters

Value	Count	Frequency (%)
	542371	16.0%
R	252198	7.4%
0	244024	7.2%
E	235625	7.0%
N	178210	5.3%
D	172028	5.1%
A	166175	4.9%
S	165438	4.9%
L	163835	4.8%
T	157715	4.7%
Other values (32)	1110946	32.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3388565	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	542371	16.0%
R	252198	7.4%
0	244024	7.2%
E	235625	7.0%
N	178210	5.3%
D	172028	5.1%
A	166175	4.9%
S	165438	4.9%
L	163835	4.8%
T	157715	4.7%
Other values (32)	1110946	32.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3388565	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	542371	16.0%
R	252198	7.4%
0	244024	7.2%
E	235625	7.0%
N	178210	5.3%
D	172028	5.1%
A	166175	4.9%
S	165438	4.9%
L	163835	4.8%
T	157715	4.7%
Other values (32)	1110946	32.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3388565	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	542371	16.0%
R	252198	7.4%
0	244024	7.2%
E	235625	7.0%
N	178210	5.3%
D	172028	5.1%
A	166175	4.9%
S	165438	4.9%
L	163835	4.8%
T	157715	4.7%
Other values (32)	1110946	32.8%

rpt_block_num
Unsupported

Missing Rejected Unsupported

Missing	28653
Missing (%)	13.4%
Memory size	1.6 MiB

rpt_street_name
Text

Distinct	13570
Distinct (%)	6.4%
Missing	1
Missing (%)	< 0.1%
Memory size	1.6 MiB

Length

Max length	52
Median length	43
Mean length	10.213145
Min length	1

Characters and Unicode

Total characters	2175931
Distinct characters	37
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8131 ?
Unique (%)	3.8%

Sample

1st row	NOT REPORTED
2nd row	NOT REPORTED
3rd row	STONELAKE
4th row	OLD EAST RIVERSIDE DR
5th row	NOT REPORTED

Value	Count	Frequency (%)
35	23552	5.0%
ih	22580	4.8%
sb	20526	4.3%
nb	19990	4.2%
svrd	18495	3.9%
not	14254	3.0%
reported	14254	3.0%
n	13646	2.9%
mopac	11621	2.5%
blvd	10062	2.1%
Other values (5796)	303694	64.3%

Most occurring characters

Value	Count	Frequency (%)
	259622	11.9%
E	180409	8.3%
R	180176	8.3%
A	142664	6.6%
S	138624	6.4%
N	135865	6.2%
T	109133	5.0%
O	106989	4.9%
D	90188	4.1%
L	89047	4.1%
Other values (27)	743214	34.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2175931	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	259622	11.9%
E	180409	8.3%
R	180176	8.3%
A	142664	6.6%
S	138624	6.4%
N	135865	6.2%
T	109133	5.0%
O	106989	4.9%
D	90188	4.1%
L	89047	4.1%
Other values (27)	743214	34.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2175931	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	259622	11.9%
E	180409	8.3%
R	180176	8.3%
A	142664	6.6%
S	138624	6.4%
N	135865	6.2%
T	109133	5.0%
O	106989	4.9%
D	90188	4.1%
L	89047	4.1%
Other values (27)	743214	34.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2175931	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	259622	11.9%
E	180409	8.3%
R	180176	8.3%
A	142664	6.6%
S	138624	6.4%
N	135865	6.2%
T	109133	5.0%
O	106989	4.9%
D	90188	4.1%
L	89047	4.1%
Other values (27)	743214	34.2%

rpt_street_sfx
Categorical

High correlation Missing

Distinct	20
Distinct (%)	< 0.1%
Missing	65296
Missing (%)	30.6%
Memory size	1.6 MiB

BLVD	27362
RD	23498
ST	22454
LN	20886
HWY	18054
Other values (15)	35503

Length

Max length	4
Median length	2
Mean length	2.6909182
Min length	1

Characters and Unicode

Total characters	397602
Distinct characters	22
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	HWY
2nd row	HWY
3rd row	BLVD
4th row	DR
5th row	HWY

Common Values

Value	Count	Frequency (%)
BLVD	27362	12.8%
RD	23498	11.0%
ST	22454	10.5%
LN	20886	9.8%
HWY	18054	8.5%
DR	16518	7.8%
EXPY	7801	3.7%
AVE	5731	2.7%
PKWY	2341	1.1%
TRL	816	0.4%
Other values (10)	2296	1.1%
(Missing)	65296	30.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
blvd	27362	18.5%
rd	23498	15.9%
st	22454	15.2%
ln	20886	14.1%
hwy	18054	12.2%
dr	16518	11.2%
expy	7801	5.3%
ave	5731	3.9%
pkwy	2341	1.6%
trl	816	0.6%
Other values (9)	2295	1.6%

Most occurring characters

Value	Count	Frequency (%)
D	67378	16.9%
L	49816	12.5%
R	41184	10.4%
V	33207	8.4%
Y	29170	7.3%
B	27362	6.9%
T	23372	5.9%
S	22454	5.6%
W	21369	5.4%
N	20886	5.3%
Other values (12)	61404	15.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	397602	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
D	67378	16.9%
L	49816	12.5%
R	41184	10.4%
V	33207	8.4%
Y	29170	7.3%
B	27362	6.9%
T	23372	5.9%
S	22454	5.6%
W	21369	5.4%
N	20886	5.3%
Other values (12)	61404	15.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	397602	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
D	67378	16.9%
L	49816	12.5%
R	41184	10.4%
V	33207	8.4%
Y	29170	7.3%
B	27362	6.9%
T	23372	5.9%
S	22454	5.6%
W	21369	5.4%
N	20886	5.3%
Other values (12)	61404	15.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	397602	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
D	67378	16.9%
L	49816	12.5%
R	41184	10.4%
V	33207	8.4%
Y	29170	7.3%
B	27362	6.9%
T	23372	5.9%
S	22454	5.6%
W	21369	5.4%
N	20886	5.3%
Other values (12)	61404	15.4%

crash_speed_limit
Real number (ℝ)

High correlation Zeros

Distinct	34
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	35.094831

Minimum	-1
Maximum	85
Zeros	11335
Zeros (%)	5.3%
Negative	38258
Negative (%)	18.0%
Memory size	1.6 MiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	25
median	40
Q3	55
95-th percentile	65
Maximum	85
Range	86
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	22.704258
Coefficient of variation (CV)	0.64694024
Kurtosis	-0.93428711
Mean	35.094831
Median Absolute Deviation (MAD)	15
Skewness	-0.4484523
Sum	7477024
Variance	515.48335
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
-1	38258	18.0%
35	32661	15.3%
45	27618	13.0%
55	20076	9.4%
30	18787	8.8%
65	16011	7.5%
40	14029	6.6%
50	11431	5.4%
0	11335	5.3%
60	10217	4.8%
Other values (24)	12629	5.9%

Value	Count	Frequency (%)
-1	38258	18.0%
0	11335	5.3%
5	96	< 0.1%
6	4	< 0.1%
7	1	< 0.1%
10	238	0.1%
15	522	0.2%
20	442	0.2%
24	2	< 0.1%
25	3204	1.5%

Value	Count	Frequency (%)
85	7	< 0.1%
80	219	0.1%
79	1	< 0.1%
75	1078	0.5%
70	6791	3.2%
66	1	< 0.1%
65	16011	7.5%
64	1	< 0.1%
60	10217	4.8%
58	1	< 0.1%

road_constr_zone_fl
Boolean

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	2
Missing (%)	< 0.1%
Memory size	1.6 MiB

False	203006
True	10045
(Missing)	2

Value	Count	Frequency (%)
False	203006	95.3%
True	10045	4.7%
(Missing)	2	< 0.1%

latitude
Real number (ℝ)

Missing

Distinct	128171
Distinct (%)	61.2%
Missing	3730
Missing (%)	1.8%
Infinite	0
Infinite (%)	0.0%
Mean	30.299313

Minimum	30.098737
Maximum	30.511625
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.6 MiB

Quantile statistics

Minimum	30.098737
5-th percentile	30.178762
Q1	30.233837
median	30.28555
Q3	30.363435
95-th percentile	30.442425
Maximum	30.511625
Range	0.41288743
Interquartile range (IQR)	0.12959862

Descriptive statistics

Standard deviation	0.082710499
Coefficient of variation (CV)	0.0027297813
Kurtosis	-0.78597703
Mean	30.299313
Median Absolute Deviation (MAD)	0.062043034
Skewness	0.28830095
Sum	6342343.2
Variance	0.0068410266
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
30.44802363	157	0.1%
30.33965264	156	0.1%
30.33882963	156	0.1%
30.21720989	148	0.1%
30.24915123	139	0.1%
30.27753478	133	0.1%
30.32556534	132	0.1%
30.33917999	131	0.1%
30.20236015	122	0.1%
30.1984147	116	0.1%
Other values (128161)	207933	97.6%
(Missing)	3730	1.8%

Value	Count	Frequency (%)
30.0987373	1	< 0.1%
30.09889195	1	< 0.1%
30.0989809	1	< 0.1%
30.09899192	1	< 0.1%
30.09902058	1	< 0.1%
30.09906538	1	< 0.1%
30.09907731	1	< 0.1%
30.09908481	1	< 0.1%
30.09911847	1	< 0.1%
30.09919882	1	< 0.1%

Value	Count	Frequency (%)
30.51162473	2	< 0.1%
30.50985091	1	< 0.1%
30.50981473	1	< 0.1%
30.50939476	1	< 0.1%
30.50938474	1	< 0.1%
30.50938473	1	< 0.1%
30.50775084	1	< 0.1%
30.50774627	1	< 0.1%
30.50758422	1	< 0.1%
30.50744995	1	< 0.1%

longitude
Real number (ℝ)

Missing

Distinct	127996
Distinct (%)	61.1%
Missing	3731
Missing (%)	1.8%
Infinite	0
Infinite (%)	0.0%
Mean	-97.738393

Minimum	-97.927173
Maximum	-97.570148
Zeros	0
Zeros (%)	0.0%
Negative	209322
Negative (%)	98.2%
Memory size	1.6 MiB

Quantile statistics

Minimum	-97.927173
5-th percentile	-97.83319
Q1	-97.769527
median	-97.736748
Q3	-97.702491
95-th percentile	-97.660881
Maximum	-97.570148
Range	0.35702563
Interquartile range (IQR)	0.067036559

Descriptive statistics

Standard deviation	0.052345893
Coefficient of variation (CV)	-0.00053557145
Kurtosis	0.25304048
Mean	-97.738393
Median Absolute Deviation (MAD)	0.033464015
Skewness	-0.27115181
Sum	-20458796
Variance	0.0027400925
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-97.79304577	157	0.1%
-97.69958145	156	0.1%
-97.70074124	156	0.1%
-97.70010376	151	0.1%
-97.75176842	148	0.1%
-97.80529785	139	0.1%
-97.67331696	133	0.1%
-97.74629246	132	0.1%
-97.74195246	130	0.1%
-97.63785553	122	0.1%
Other values (127986)	207898	97.6%
(Missing)	3731	1.8%

Value	Count	Frequency (%)
-97.92717344	1	< 0.1%
-97.92678889	1	< 0.1%
-97.92658994	2	< 0.1%
-97.92649002	1	< 0.1%
-97.92493512	1	< 0.1%
-97.92453454	1	< 0.1%
-97.92448327	1	< 0.1%
-97.92442406	1	< 0.1%
-97.92431681	1	< 0.1%
-97.92417591	1	< 0.1%

Value	Count	Frequency (%)
-97.57014781	1	< 0.1%
-97.57024774	1	< 0.1%
-97.57029177	1	< 0.1%
-97.57040391	1	< 0.1%
-97.57054204	1	< 0.1%
-97.57054233	1	< 0.1%
-97.57071655	1	< 0.1%
-97.57074071	1	< 0.1%
-97.57075015	1	< 0.1%
-97.57102709	1	< 0.1%

crash_sev_id
Real number (ℝ)

High correlation Zeros

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4565484

Minimum	0
Maximum	5
Zeros	15401
Zeros (%)	7.2%
Negative	0
Negative (%)	0.0%
Memory size	1.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	3
Q3	5
95-th percentile	5
Maximum	5
Range	5
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.6270647
Coefficient of variation (CV)	0.4707195
Kurtosis	-0.85837561
Mean	3.4565484
Median Absolute Deviation (MAD)	2
Skewness	-0.55038845
Sum	736428
Variance	2.6473396
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
5	99700	46.8%
3	46006	21.6%
2	44400	20.8%
0	15401	7.2%
1	6358	3.0%
4	1188	0.6%

Value	Count	Frequency (%)
0	15401	7.2%
1	6358	3.0%
2	44400	20.8%
3	46006	21.6%
4	1188	0.6%
5	99700	46.8%

Value	Count	Frequency (%)
5	99700	46.8%
4	1188	0.6%
3	46006	21.6%
2	44400	20.8%
1	6358	3.0%
0	15401	7.2%

sus_serious_injry_cnt
Real number (ℝ)

High correlation Zeros

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.034822321

Minimum	0
Maximum	14
Zeros	206553
Zeros (%)	96.9%
Negative	0
Negative (%)	0.0%
Memory size	1.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	14
Range	14
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.21399697
Coefficient of variation (CV)	6.1453965
Kurtosis	187.86025
Mean	0.034822321
Median Absolute Deviation (MAD)	0
Skewness	9.2193063
Sum	7419
Variance	0.045794704
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
0	206553	96.9%
1	5792	2.7%
2	571	0.3%
3	94	< 0.1%
4	28	< 0.1%
5	12	< 0.1%
10	1	< 0.1%
7	1	< 0.1%
14	1	< 0.1%

Value	Count	Frequency (%)
0	206553	96.9%
1	5792	2.7%
2	571	0.3%
3	94	< 0.1%
4	28	< 0.1%
5	12	< 0.1%
7	1	< 0.1%
10	1	< 0.1%
14	1	< 0.1%

Value	Count	Frequency (%)
14	1	< 0.1%
10	1	< 0.1%
7	1	< 0.1%
5	12	< 0.1%
4	28	< 0.1%
3	94	< 0.1%
2	571	0.3%
1	5792	2.7%
0	206553	96.9%

nonincap_injry_cnt
Real number (ℝ)

High correlation Zeros

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.28519195

Minimum	0
Maximum	57
Zeros	167293
Zeros (%)	78.5%
Negative	0
Negative (%)	0.0%
Memory size	1.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	57
Range	57
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.65318385
Coefficient of variation (CV)	2.2903306
Kurtosis	284.14343
Mean	0.28519195
Median Absolute Deviation (MAD)	0
Skewness	6.2198557
Sum	60761
Variance	0.42664914
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
0	167293	78.5%
1	35285	16.6%
2	7577	3.6%
3	1932	0.9%
4	620	0.3%
5	206	0.1%
6	78	< 0.1%
7	34	< 0.1%
9	11	< 0.1%
8	9	< 0.1%
Other values (6)	8	< 0.1%

Value	Count	Frequency (%)
0	167293	78.5%
1	35285	16.6%
2	7577	3.6%
3	1932	0.9%
4	620	0.3%
5	206	0.1%
6	78	< 0.1%
7	34	< 0.1%
8	9	< 0.1%
9	11	< 0.1%

Value	Count	Frequency (%)
57	1	< 0.1%
15	1	< 0.1%
14	1	< 0.1%
12	1	< 0.1%
11	1	< 0.1%
10	3	< 0.1%
9	11	< 0.1%
8	9	< 0.1%
7	34	< 0.1%
6	78	< 0.1%

poss_injry_cnt
Real number (ℝ)

High correlation Zeros

Distinct	19
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.35555941

Minimum	0
Maximum	21
Zeros	159987
Zeros (%)	75.1%
Negative	0
Negative (%)	0.0%
Memory size	1.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	21
Range	21
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.75623409
Coefficient of variation (CV)	2.1268853
Kurtosis	23.104304
Mean	0.35555941
Median Absolute Deviation (MAD)	0
Skewness	3.438377
Sum	75753
Variance	0.57189
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
0	159987	75.1%
1	38228	17.9%
2	10112	4.7%
3	2966	1.4%
4	1025	0.5%
5	417	0.2%
6	180	0.1%
7	72	< 0.1%
8	31	< 0.1%
9	16	< 0.1%
Other values (9)	19	< 0.1%

Value	Count	Frequency (%)
0	159987	75.1%
1	38228	17.9%
2	10112	4.7%
3	2966	1.4%
4	1025	0.5%
5	417	0.2%
6	180	0.1%
7	72	< 0.1%
8	31	< 0.1%
9	16	< 0.1%

Value	Count	Frequency (%)
21	1	< 0.1%
20	1	< 0.1%
18	1	< 0.1%
15	1	< 0.1%
14	1	< 0.1%
13	1	< 0.1%
12	4	< 0.1%
11	3	< 0.1%
10	6	< 0.1%
9	16	< 0.1%

non_injry_cnt
Real number (ℝ)

Zeros

Distinct	51
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.848831

Minimum	0
Maximum	64
Zeros	36771
Zeros (%)	17.3%
Negative	0
Negative (%)	0.0%
Memory size	1.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	2
95-th percentile	5
Maximum	64
Range	64
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.6903839
Coefficient of variation (CV)	0.91429874
Kurtosis	86.820858
Mean	1.848831
Median Absolute Deviation (MAD)	1
Skewness	4.8993455
Sum	393899
Variance	2.8573977
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	62168	29.2%
1	62043	29.1%
0	36771	17.3%
3	27601	13.0%
4	12579	5.9%
5	6162	2.9%
6	2826	1.3%
7	1295	0.6%
8	692	0.3%
9	347	0.2%
Other values (41)	569	0.3%

Value	Count	Frequency (%)
0	36771	17.3%
1	62043	29.1%
2	62168	29.2%
3	27601	13.0%
4	12579	5.9%
5	6162	2.9%
6	2826	1.3%
7	1295	0.6%
8	692	0.3%
9	347	0.2%

Value	Count	Frequency (%)
64	1	< 0.1%
56	1	< 0.1%
53	1	< 0.1%
50	2	< 0.1%
49	1	< 0.1%
48	2	< 0.1%
47	1	< 0.1%
46	3	< 0.1%
44	2	< 0.1%
43	3	< 0.1%

unkn_injry_cnt
Real number (ℝ)

Zeros

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.11817247

Minimum	0
Maximum	41
Zeros	191633
Zeros (%)	89.9%
Negative	0
Negative (%)	0.0%
Memory size	1.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	41
Range	41
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.41091328
Coefficient of variation (CV)	3.4772335
Kurtosis	541.21411
Mean	0.11817247
Median Absolute Deviation (MAD)	0
Skewness	10.203928
Sum	25177
Variance	0.16884973
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
0	191633	89.9%
1	18921	8.9%
2	1767	0.8%
3	471	0.2%
4	153	0.1%
5	64	< 0.1%
6	18	< 0.1%
7	12	< 0.1%
8	5	< 0.1%
14	2	< 0.1%
Other values (6)	7	< 0.1%

Value	Count	Frequency (%)
0	191633	89.9%
1	18921	8.9%
2	1767	0.8%
3	471	0.2%
4	153	0.1%
5	64	< 0.1%
6	18	< 0.1%
7	12	< 0.1%
8	5	< 0.1%
9	2	< 0.1%

Value	Count	Frequency (%)
41	1	< 0.1%
18	1	< 0.1%
17	1	< 0.1%
14	2	< 0.1%
13	1	< 0.1%
10	1	< 0.1%
9	2	< 0.1%
8	5	< 0.1%
7	12	< 0.1%
6	18	< 0.1%

tot_injry_cnt
Real number (ℝ)

High correlation Zeros

Distinct	20
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.67557368

Minimum	0
Maximum	61
Zeros	115902
Zeros (%)	54.4%
Negative	0
Negative (%)	0.0%
Memory size	1.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	2
Maximum	61
Range	61
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.97369716
Coefficient of variation (CV)	1.4412894
Kurtosis	80.914582
Mean	0.67557368
Median Absolute Deviation (MAD)	0
Skewness	3.4629966
Sum	143933
Variance	0.94808616
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
0	115902	54.4%
1	67054	31.5%
2	20094	9.4%
3	6254	2.9%
4	2203	1.0%
5	868	0.4%
6	371	0.2%
7	163	0.1%
8	70	< 0.1%
9	31	< 0.1%
Other values (10)	43	< 0.1%

Value	Count	Frequency (%)
0	115902	54.4%
1	67054	31.5%
2	20094	9.4%
3	6254	2.9%
4	2203	1.0%
5	868	0.4%
6	371	0.2%
7	163	0.1%
8	70	< 0.1%
9	31	< 0.1%

Value	Count	Frequency (%)
61	1	< 0.1%
22	1	< 0.1%
21	1	< 0.1%
18	1	< 0.1%
15	3	< 0.1%
14	2	< 0.1%
13	3	< 0.1%
12	10	< 0.1%
11	7	< 0.1%
10	14	< 0.1%

death_cnt
Categorical

High correlation Imbalance

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

0	211898
1	1096
2	54
3	3
4	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	213053
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	211898	99.5%
1	1096	0.5%
2	54	< 0.1%
3	3	< 0.1%
4	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	211898	99.5%
1	1096	0.5%
2	54	< 0.1%
3	3	< 0.1%
4	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	211898	99.5%
1	1096	0.5%
2	54	< 0.1%
3	3	< 0.1%
4	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	211898	99.5%
1	1096	0.5%
2	54	< 0.1%
3	3	< 0.1%
4	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	211898	99.5%
1	1096	0.5%
2	54	< 0.1%
3	3	< 0.1%
4	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	211898	99.5%
1	1096	0.5%
2	54	< 0.1%
3	3	< 0.1%
4	2	< 0.1%

units_involved
Text

Distinct	80
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

Length

Max length	92
Median length	79
Mean length	27.046608
Min length	7

Characters and Unicode

Total characters	5762361
Distinct characters	33
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	17 ?
Unique (%)	< 0.1%

Sample

1st row	Motorcycle
2nd row	Passenger car
3rd row	Passenger car
4th row	Passenger car
5th row	Passenger car

Value	Count	Frequency (%)
passenger	284197	32.3%
car	166293	18.9%
vehicle	133858	15.2%
large	117904	13.4%
	108914	12.4%
motor	15954	1.8%
–	15954	1.8%
other	15954	1.8%
other/unknown	6750	0.8%
motorcycle	5746	0.7%
Other values (6)	9376	1.1%

Most occurring characters

Value	Count	Frequency (%)
e	996864	17.3%
	667847	11.6%
r	618272	10.7%
s	573794	10.0%
a	573454	10.0%
g	402101	7.0%
c	319805	5.5%
n	309507	5.4%
P	171335	3.0%
h	156562	2.7%
Other values (23)	972820	16.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5762361	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	996864	17.3%
	667847	11.6%
r	618272	10.7%
s	573794	10.0%
a	573454	10.0%
g	402101	7.0%
c	319805	5.5%
n	309507	5.4%
P	171335	3.0%
h	156562	2.7%
Other values (23)	972820	16.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5762361	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	996864	17.3%
	667847	11.6%
r	618272	10.7%
s	573794	10.0%
a	573454	10.0%
g	402101	7.0%
c	319805	5.5%
n	309507	5.4%
P	171335	3.0%
h	156562	2.7%
Other values (23)	972820	16.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5762361	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	996864	17.3%
	667847	11.6%
r	618272	10.7%
s	573794	10.0%
a	573454	10.0%
g	402101	7.0%
c	319805	5.5%
n	309507	5.4%
P	171335	3.0%
h	156562	2.7%
Other values (23)	972820	16.9%

point
Text

Missing

Distinct	130099
Distinct (%)	62.2%
Missing	3731
Missing (%)	1.8%
Memory size	1.6 MiB

Length

Max length	45
Median length	32
Mean length	33.769355
Min length	22

Characters and Unicode

Total characters	7068669
Distinct characters	20
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	113027 ?
Unique (%)	54.0%

Sample

1st row	POINT (-97.7898706 30.19389906)
2nd row	POINT (-97.71668542 30.40834659)
3rd row	POINT (-97.73741764 30.240121)
4th row	POINT (-97.76466175 30.17777241)
5th row	POINT (-97.68975365 30.37589167)

Value	Count	Frequency (%)
point	209322	33.3%
30.44802363	157	< 0.1%
97.79304577	157	< 0.1%
97.7007412424805	156	< 0.1%
30.3396526378689	156	< 0.1%
97.6995814479184	156	< 0.1%
30.3388296344939	156	< 0.1%
97.70010376	151	< 0.1%
97.7517684165415	148	< 0.1%
30.217209891268	148	< 0.1%
Other values (256157)	417259	66.4%

Most occurring characters

Value	Count	Frequency (%)
7	715556	10.1%
3	597170	8.4%
9	526222	7.4%
0	482287	6.8%
2	438720	6.2%
4	427772	6.1%
.	418644	5.9%
	418644	5.9%
6	379781	5.4%
8	348264	4.9%
Other values (10)	2315609	32.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7068669	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
7	715556	10.1%
3	597170	8.4%
9	526222	7.4%
0	482287	6.8%
2	438720	6.2%
4	427772	6.1%
.	418644	5.9%
	418644	5.9%
6	379781	5.4%
8	348264	4.9%
Other values (10)	2315609	32.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7068669	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
7	715556	10.1%
3	597170	8.4%
9	526222	7.4%
0	482287	6.8%
2	438720	6.2%
4	427772	6.1%
.	418644	5.9%
	418644	5.9%
6	379781	5.4%
8	348264	4.9%
Other values (10)	2315609	32.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7068669	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
7	715556	10.1%
3	597170	8.4%
9	526222	7.4%
0	482287	6.8%
2	438720	6.2%
4	427772	6.1%
.	418644	5.9%
	418644	5.9%
6	379781	5.4%
8	348264	4.9%
Other values (10)	2315609	32.8%

motor_vehicle_death_count
Categorical

High correlation Imbalance

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

0	212541
1	464
2	43
3	3
4	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	213053
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	212541	99.8%
1	464	0.2%
2	43	< 0.1%
3	3	< 0.1%
4	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	212541	99.8%
1	464	0.2%
2	43	< 0.1%
3	3	< 0.1%
4	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	212541	99.8%
1	464	0.2%
2	43	< 0.1%
3	3	< 0.1%
4	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	212541	99.8%
1	464	0.2%
2	43	< 0.1%
3	3	< 0.1%
4	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	212541	99.8%
1	464	0.2%
2	43	< 0.1%
3	3	< 0.1%
4	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	212541	99.8%
1	464	0.2%
2	43	< 0.1%
3	3	< 0.1%
4	2	< 0.1%

motor_vehicle_serious_injury_count
Real number (ℝ)

High correlation Zeros

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.023365078

Minimum	0
Maximum	7
Zeros	208893
Zeros (%)	98.0%
Negative	0
Negative (%)	0.0%
Memory size	1.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	7
Range	7
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.18133541
Coefficient of variation (CV)	7.7609587
Kurtosis	145.37583
Mean	0.023365078
Median Absolute Deviation (MAD)	0
Skewness	10.236579
Sum	4978
Variance	0.032882529
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	208893	98.0%
1	3524	1.7%
2	508	0.2%
3	89	< 0.1%
4	26	< 0.1%
5	12	< 0.1%
7	1	< 0.1%

Value	Count	Frequency (%)
0	208893	98.0%
1	3524	1.7%
2	508	0.2%
3	89	< 0.1%
4	26	< 0.1%
5	12	< 0.1%
7	1	< 0.1%

Value	Count	Frequency (%)
7	1	< 0.1%
5	12	< 0.1%
4	26	< 0.1%
3	89	< 0.1%
2	508	0.2%
1	3524	1.7%
0	208893	98.0%

bicycle_death_count
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

0	213013
1	40

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	213053
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	213013	> 99.9%
1	40	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	213013	> 99.9%
1	40	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	213013	> 99.9%
1	40	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	213013	> 99.9%
1	40	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	213013	> 99.9%
1	40	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	213013	> 99.9%
1	40	< 0.1%

bicycle_serious_injury_count
Categorical

High correlation Imbalance

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

0	212644
1	405
2	2
3	1
14	1

Length

Max length	2
Median length	1
Mean length	1.0000047
Min length	1

Characters and Unicode

Total characters	213054
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	212644	99.8%
1	405	0.2%
2	2	< 0.1%
3	1	< 0.1%
14	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	212644	99.8%
1	405	0.2%
2	2	< 0.1%
3	1	< 0.1%
14	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	212644	99.8%
1	406	0.2%
2	2	< 0.1%
3	1	< 0.1%
4	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	213054	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	212644	99.8%
1	406	0.2%
2	2	< 0.1%
3	1	< 0.1%
4	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	213054	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	212644	99.8%
1	406	0.2%
2	2	< 0.1%
3	1	< 0.1%
4	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	213054	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	212644	99.8%
1	406	0.2%
2	2	< 0.1%
3	1	< 0.1%
4	1	< 0.1%

pedestrian_death_count
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

0	212631
1	415
2	7

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	213053
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	212631	99.8%
1	415	0.2%
2	7	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	212631	99.8%
1	415	0.2%
2	7	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	212631	99.8%
1	415	0.2%
2	7	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	212631	99.8%
1	415	0.2%
2	7	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	212631	99.8%
1	415	0.2%
2	7	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	212631	99.8%
1	415	0.2%
2	7	< 0.1%

pedestrian_serious_injury_count
Categorical

High correlation Imbalance

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

0	212185
1	851
2	15
3	1
9	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	213053
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	212185	99.6%
1	851	0.4%
2	15	< 0.1%
3	1	< 0.1%
9	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	212185	99.6%
1	851	0.4%
2	15	< 0.1%
3	1	< 0.1%
9	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	212185	99.6%
1	851	0.4%
2	15	< 0.1%
3	1	< 0.1%
9	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	212185	99.6%
1	851	0.4%
2	15	< 0.1%
3	1	< 0.1%
9	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	212185	99.6%
1	851	0.4%
2	15	< 0.1%
3	1	< 0.1%
9	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	212185	99.6%
1	851	0.4%
2	15	< 0.1%
3	1	< 0.1%
9	1	< 0.1%

motorcycle_death_count
Categorical

Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

0	212877
1	173
2	3

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	213053
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	212877	99.9%
1	173	0.1%
2	3	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	212877	99.9%
1	173	0.1%
2	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	212877	99.9%
1	173	0.1%
2	3	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	212877	99.9%
1	173	0.1%
2	3	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	212877	99.9%
1	173	0.1%
2	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	212877	99.9%
1	173	0.1%
2	3	< 0.1%

motorcycle_serious_injury_count
Categorical

Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

0	212020
1	999
2	34

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	213053
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	212020	99.5%
1	999	0.5%
2	34	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	212020	99.5%
1	999	0.5%
2	34	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	212020	99.5%
1	999	0.5%
2	34	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	212020	99.5%
1	999	0.5%
2	34	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	212020	99.5%
1	999	0.5%
2	34	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	212020	99.5%
1	999	0.5%
2	34	< 0.1%

other_death_count
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

0	213053

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	213053
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	213053	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	213053	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	213053	100.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	213053	100.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	213053	100.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	213053	100.0%

other_serious_injury_count
Categorical

Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

0	213046
1	6
3	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	213053
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	213046	> 99.9%
1	6	< 0.1%
3	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	213046	> 99.9%
1	6	< 0.1%
3	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	213046	> 99.9%
1	6	< 0.1%
3	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	213046	> 99.9%
1	6	< 0.1%
3	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	213046	> 99.9%
1	6	< 0.1%
3	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	213046	> 99.9%
1	6	< 0.1%
3	1	< 0.1%

onsys_fl
Boolean

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	208.2 KiB

False	109129
True	103924

Value	Count	Frequency (%)
False	109129	51.2%
True	103924	48.8%

private_dr_fl
Boolean

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	208.2 KiB

False	213053

Value	Count	Frequency (%)
False	213053	100.0%

micromobility_serious_injury_count
Categorical

Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

0	213009
1	42
2	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	213053
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	213009	> 99.9%
1	42	< 0.1%
2	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	213009	> 99.9%
1	42	< 0.1%
2	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	213009	> 99.9%
1	42	< 0.1%
2	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	213009	> 99.9%
1	42	< 0.1%
2	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	213009	> 99.9%
1	42	< 0.1%
2	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	213009	> 99.9%
1	42	< 0.1%
2	2	< 0.1%

micromobility_death_count
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

0	213047
1	6

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	213053
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	213047	> 99.9%
1	6	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	213047	> 99.9%
1	6	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	213047	> 99.9%
1	6	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	213047	> 99.9%
1	6	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	213047	> 99.9%
1	6	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	213047	> 99.9%
1	6	< 0.1%

Crash timestamp (US/Central)
Date

Distinct	208462
Distinct (%)	97.8%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

Minimum	2010-01-01 00:59:00
Maximum	2024-11-19 01:36:00

Histogram with fixed size bins (bins=50)

Crash timestamp
Date

Distinct	208462
Distinct (%)	97.8%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

Minimum	2010-01-01 06:59:00
Maximum	2024-11-19 07:36:00

Histogram with fixed size bins (bins=50)

Is deleted
Boolean

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	208.2 KiB

False	213053

Value	Count	Frequency (%)
False	213053	100.0%

Is temporary record
Boolean

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	208.2 KiB

False	213051
True	2

Value	Count	Frequency (%)
False	213051	> 99.9%
True	2	< 0.1%

Law enforcement fatality count
Categorical

High correlation Imbalance

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

0	212433
1	590
2	28
3	1
4	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	213053
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	212433	99.7%
1	590	0.3%
2	28	< 0.1%
3	1	< 0.1%
4	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	212433	99.7%
1	590	0.3%
2	28	< 0.1%
3	1	< 0.1%
4	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	212433	99.7%
1	590	0.3%
2	28	< 0.1%
3	1	< 0.1%
4	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	212433	99.7%
1	590	0.3%
2	28	< 0.1%
3	1	< 0.1%
4	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	212433	99.7%
1	590	0.3%
2	28	< 0.1%
3	1	< 0.1%
4	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	213053	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	212433	99.7%
1	590	0.3%
2	28	< 0.1%
3	1	< 0.1%
4	1	< 0.1%

Reported street prefix
Unsupported

Missing Rejected Unsupported

Missing	213053
Missing (%)	100.0%
Memory size	1.6 MiB

Interactions

Correlations

	Crash ID	ID	Is temporary record	Law enforcement fatality count	bicycle_death_count	bicycle_serious_injury_count	crash_fatal_fl	crash_sev_id	crash_speed_limit	death_cnt	latitude	longitude	micromobility_death_count	micromobility_serious_injury_count	motor_vehicle_death_count	motor_vehicle_serious_injury_count	motorcycle_death_count	motorcycle_serious_injury_count	non_injry_cnt	nonincap_injry_cnt	onsys_fl	other_serious_injury_count	pedestrian_death_count	pedestrian_serious_injury_count	poss_injry_cnt	road_constr_zone_fl	rpt_street_sfx	sus_serious_injry_cnt	tot_injry_cnt	unkn_injry_cnt
Crash ID	1.000	-0.247	1.000	0.030	0.000	0.001	0.018	0.032	0.037	0.009	-0.004	0.028	0.007	0.010	0.005	-0.003	0.000	0.003	-0.015	-0.029	0.045	0.000	0.012	0.004	-0.020	0.104	0.028	0.001	-0.036	-0.023
ID	-0.247	1.000	0.046	0.015	0.016	0.000	0.013	-0.037	0.065	0.005	0.011	-0.010	0.004	0.002	0.001	0.005	0.000	0.000	-0.023	0.033	0.039	0.000	0.006	0.000	0.020	0.047	0.017	0.006	0.040	0.007
Is temporary record	1.000	0.046	1.000	0.058	0.056	0.000	0.031	0.041	0.000	0.042	0.004	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.034	0.000	0.000	1.000	1.000	0.000	0.000	0.000
Law enforcement fatality count	0.030	0.015	0.058	1.000	0.149	0.000	0.721	0.361	0.013	0.686	0.005	0.009	0.101	0.000	0.605	0.024	0.231	0.000	0.000	0.000	0.021	0.000	0.372	0.020	0.000	0.009	0.004	0.014	0.000	0.000
bicycle_death_count	0.000	0.016	0.056	0.149	1.000	0.000	0.181	0.183	0.008	0.191	0.000	0.005	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.000	0.000
bicycle_serious_injury_count	0.001	0.000	0.000	0.000	0.000	1.000	0.000	0.125	0.010	0.000	0.005	0.006	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.020	0.000	0.000	0.000	0.000	0.006	0.033	0.503	0.167	0.000
crash_fatal_fl	0.018	0.013	0.031	0.721	0.181	0.000	1.000	1.000	0.026	0.986	0.015	0.023	0.065	0.000	0.655	0.052	0.384	0.005	0.003	0.000	0.023	0.000	0.595	0.029	0.009	0.003	0.013	0.042	0.004	0.000
crash_sev_id	0.032	-0.037	0.041	0.361	0.183	0.125	1.000	1.000	0.026	0.493	0.024	-0.050	0.071	0.058	0.328	-0.208	0.271	0.278	0.473	-0.568	0.042	0.023	0.421	0.181	-0.234	0.013	0.036	-0.264	-0.654	-0.455
crash_speed_limit	0.037	0.065	0.000	0.013	0.008	0.010	0.026	0.026	1.000	0.014	0.003	-0.035	0.000	0.006	0.013	0.022	0.002	0.008	0.044	-0.013	0.582	0.000	0.008	0.013	0.022	0.132	0.235	0.004	0.009	-0.028
death_cnt	0.009	0.005	0.042	0.686	0.191	0.000	0.986	0.493	0.014	1.000	0.007	0.012	0.074	0.000	0.897	0.039	0.326	0.001	0.000	0.000	0.024	0.000	0.503	0.015	0.000	0.003	0.003	0.032	0.000	0.000
latitude	-0.004	0.011	0.004	0.005	0.000	0.005	0.015	0.024	0.003	0.007	1.000	0.318	0.000	0.010	0.006	-0.001	0.000	0.005	-0.006	-0.022	0.146	0.000	0.008	0.007	0.015	0.074	0.209	-0.006	-0.006	-0.016
longitude	0.028	-0.010	0.000	0.009	0.005	0.006	0.023	-0.050	-0.035	0.012	0.318	1.000	0.000	0.010	0.012	0.017	0.002	0.003	-0.014	0.010	0.128	0.000	0.011	0.006	0.013	0.080	0.169	0.014	0.021	0.066
micromobility_death_count	0.007	0.004	0.000	0.101	0.000	0.000	0.065	0.071	0.000	0.074	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
micromobility_serious_injury_count	0.010	0.002	0.000	0.000	0.000	0.000	0.000	0.058	0.006	0.000	0.010	0.010	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.005	0.000	0.000	0.000	0.000	0.001	0.015	0.041	0.000	0.000
motor_vehicle_death_count	0.005	0.001	0.000	0.605	0.000	0.000	0.655	0.328	0.013	0.897	0.006	0.012	0.000	0.000	1.000	0.050	0.000	0.000	0.000	0.000	0.021	0.000	0.000	0.023	0.006	0.000	0.006	0.040	0.004	0.000
motor_vehicle_serious_injury_count	-0.003	0.005	0.000	0.024	0.000	0.000	0.052	-0.208	0.022	0.039	-0.001	0.017	0.000	0.000	0.050	1.000	0.000	0.003	-0.090	0.017	0.023	0.012	0.000	0.007	-0.012	0.000	0.014	0.797	0.176	-0.016
motorcycle_death_count	0.000	0.000	0.000	0.231	0.000	0.000	0.384	0.271	0.002	0.326	0.000	0.002	0.000	0.000	0.000	0.000	1.000	0.015	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
motorcycle_serious_injury_count	0.003	0.000	0.000	0.000	0.000	0.000	0.005	0.278	0.008	0.001	0.005	0.003	0.000	0.000	0.000	0.003	0.015	1.000	0.000	0.000	0.010	0.000	0.000	0.000	0.002	0.005	0.009	0.168	0.000	0.000
non_injry_cnt	-0.015	-0.023	0.000	0.000	0.000	0.000	0.003	0.473	0.044	0.000	-0.006	-0.014	0.000	0.000	0.000	-0.090	0.000	0.000	1.000	-0.242	0.033	0.000	0.000	0.000	-0.223	0.010	0.009	-0.113	-0.384	-0.242
nonincap_injry_cnt	-0.029	0.033	0.000	0.000	0.000	0.000	0.000	-0.568	-0.013	0.000	-0.022	0.010	0.000	0.000	0.000	0.017	0.000	0.000	-0.242	1.000	0.003	0.000	0.000	0.000	-0.135	0.000	0.000	-0.011	0.580	-0.030
onsys_fl	0.045	0.039	0.000	0.021	0.000	0.020	0.023	0.042	0.582	0.024	0.146	0.128	0.000	0.005	0.021	0.023	0.002	0.010	0.033	0.003	1.000	0.005	0.013	0.021	0.013	0.118	0.634	0.009	0.008	0.004
other_serious_injury_count	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.023	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.012	0.000	0.000	0.000	0.000	0.005	1.000	0.000	0.000	0.000	0.000	0.000	0.070	0.000	0.000
pedestrian_death_count	0.012	0.006	0.034	0.372	0.000	0.000	0.595	0.421	0.008	0.503	0.008	0.011	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.013	0.000	1.000	0.006	0.000	0.003	0.000	0.000	0.000	0.000
pedestrian_serious_injury_count	0.004	0.000	0.000	0.020	0.000	0.000	0.029	0.181	0.013	0.015	0.007	0.006	0.000	0.000	0.023	0.007	0.000	0.000	0.000	0.000	0.021	0.000	0.006	1.000	0.000	0.010	0.023	0.509	0.029	0.000
poss_injry_cnt	-0.020	0.020	0.000	0.000	0.000	0.000	0.009	-0.234	0.022	0.000	0.015	0.013	0.000	0.000	0.006	-0.012	0.000	0.002	-0.223	-0.135	0.013	0.000	0.000	0.000	1.000	0.000	0.007	-0.042	0.656	-0.055
road_constr_zone_fl	0.104	0.047	1.000	0.009	0.002	0.006	0.003	0.013	0.132	0.003	0.074	0.080	0.000	0.001	0.000	0.000	0.000	0.005	0.010	0.000	0.118	0.000	0.003	0.010	0.000	1.000	0.131	0.000	0.000	0.004
rpt_street_sfx	0.028	0.017	1.000	0.004	0.000	0.033	0.013	0.036	0.235	0.003	0.209	0.169	0.000	0.015	0.006	0.014	0.000	0.009	0.009	0.000	0.634	0.000	0.000	0.023	0.007	0.131	1.000	0.010	0.000	0.000
sus_serious_injry_cnt	0.001	0.006	0.000	0.014	0.000	0.503	0.042	-0.264	0.004	0.032	-0.006	0.014	0.000	0.041	0.040	0.797	0.000	0.168	-0.113	-0.011	0.009	0.070	0.000	0.509	-0.042	0.000	0.010	1.000	0.197	-0.013
tot_injry_cnt	-0.036	0.040	0.000	0.000	0.000	0.167	0.004	-0.654	0.009	0.000	-0.006	0.021	0.000	0.000	0.004	0.176	0.000	0.000	-0.384	0.580	0.008	0.000	0.000	0.029	0.656	0.000	0.000	0.197	1.000	-0.068
unkn_injry_cnt	-0.023	0.007	0.000	0.000	0.000	0.000	0.000	-0.455	-0.028	0.000	-0.016	0.066	0.000	0.000	0.000	-0.016	0.000	0.000	-0.242	-0.030	0.004	0.000	0.000	0.000	-0.055	0.004	0.000	-0.013	-0.068	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	ID	Crash ID	crash_fatal_fl	case_id	Primary address	Secondary address	rpt_block_num	rpt_street_name	rpt_street_sfx	crash_speed_limit	road_constr_zone_fl	latitude	longitude	crash_sev_id	nonincap_injry_cnt	poss_injry_cnt	non_injry_cnt	tot_injry_cnt	units_involved	point	onsys_fl	private_dr_fl	Crash timestamp (US/Central)	Crash timestamp	Is deleted	Is temporary record	Reported street prefix
0	1189	13663405.0	False	140221383	NOT REPORTED HWY	NOT REPORTED	NaN	NOT REPORTED	HWY	65.0	False	NaN	NaN	5	0	0	1	0	Motorcycle	NaN	True	False	01/22/2014 07:08:00 PM	01/23/2014 01:08:00 AM	False	False	NaN
1	6156	13773522.0	False	140940460	6600 N NOT REPORTED HWY	ST JOHNS	6600	NOT REPORTED	HWY	-1.0	False	NaN	NaN	5	0	0	1	0	Passenger car	NaN	True	False	04/04/2014 07:46:00 AM	04/04/2014 12:46:00 PM	False	False	NaN
2	9933	13852453.0	False	141440943	STONELAKE BLVD	NOT REPORTED	NaN	STONELAKE	BLVD	45.0	False	NaN	NaN	3	0	2	0	2	Passenger car	NaN	False	False	05/24/2014 12:04:00 PM	05/24/2014 05:04:00 PM	False	False	NaN
3	912	13656594.0	False	140100795	E OLD EAST RIVERSIDE DR DR	PLEASANT VALLEY RD	NaN	OLD EAST RIVERSIDE DR	DR	30.0	False	NaN	NaN	5	0	0	1	0	Passenger car	NaN	False	False	01/10/2014 12:18:00 PM	01/10/2014 06:18:00 PM	False	False	NaN
4	2282	13688135.0	False	140291414	1000 NOT REPORTED HWY	E E 8TH TO IH 35 NB RAMP	1000	NOT REPORTED	HWY	55.0	False	NaN	NaN	5	0	0	2	0	Passenger car	NaN	True	False	01/29/2014 06:44:00 PM	01/30/2014 12:44:00 AM	False	False	NaN
5	2680	13699847.0	False	140401121	2500 NOT REPORTED RD	PEARCE LN	2500	NOT REPORTED	RD	50.0	False	NaN	NaN	2	2	1	0	3	Large passenger vehicle	NaN	True	False	02/09/2014 04:26:00 PM	02/09/2014 10:26:00 PM	False	False	NaN
6	1294	13665835.0	False	140080783	7500 NOT REPORTED EXPY	W WILLIAM CANNON DR	7500	NOT REPORTED	EXPY	-1.0	False	30.193899	-97.789871	5	0	0	1	0	Passenger car	POINT (-97.7898706 30.19389906)	True	False	01/08/2014 01:30:00 PM	01/08/2014 07:30:00 PM	False	False	NaN
7	1661	13671384.0	False	140071233	11900 NOT REPORTED EXPY	DUVAL RD	11900	NOT REPORTED	EXPY	-1.0	False	30.408347	-97.716685	2	2	0	0	2	Motorcycle & Passenger car	POINT (-97.71668542 30.40834659)	True	False	01/07/2014 06:30:00 PM	01/08/2014 12:30:00 AM	False	False	NaN
8	186	13634898.0	False	140031048	1600 NOT REPORTED	WOODLAND AVE	1600	NOT REPORTED	NaN	60.0	False	30.240121	-97.737418	5	0	0	2	0	Large passenger vehicle & Passenger car	POINT (-97.73741764 30.240121)	True	False	01/03/2014 02:26:00 PM	01/03/2014 08:26:00 PM	False	False	NaN
9	2356	13688474.0	False	140440236	2306 PATSY PKWY	STONLEIGH PL	2306	PATSY	PKWY	30.0	False	30.177772	-97.764662	3	0	1	0	1	Large passenger vehicle & Passenger car	POINT (-97.76466175 30.17777241)	False	False	02/13/2014 04:16:00 AM	02/13/2014 10:16:00 AM	False	False	NaN

	ID	Crash ID	crash_fatal_fl	case_id	Primary address	Secondary address	rpt_block_num	rpt_street_name	rpt_street_sfx	crash_speed_limit	road_constr_zone_fl	latitude	longitude	crash_sev_id	sus_serious_injry_cnt	nonincap_injry_cnt	poss_injry_cnt	non_injry_cnt	tot_injry_cnt	units_involved	point	motor_vehicle_serious_injury_count	onsys_fl	private_dr_fl	Crash timestamp (US/Central)	Crash timestamp	Is deleted	Is temporary record	Reported street prefix
213043	1342868	20490420.0	False	243121174	900 E 11TH ST	1100 N IH 35 SVRD	900.0	11TH	ST	30.0	False	30.270404	-97.732905	5	0	0	0	4	0	Large passenger vehicle & Passenger car	POINT (-97.73290462 30.27040381)	0	True	False	11/07/2024 06:57:00 PM	11/08/2024 12:57:00 AM	False	False	NaN
213044	1342510	20482739.0	False	243080340	6300 S S MOPAC EXPY SVRD SB EXPY	4200 W WILLIAM CANNON DR DR	6300.0	S MOPAC EXPY SVRD SB	EXPY	55.0	False	30.220927	-97.836056	5	0	0	0	1	0	Passenger car	POINT (-97.83605635 30.22092654)	0	True	False	11/03/2024 02:12:00 AM	11/03/2024 08:12:00 AM	False	False	NaN
213045	1342444	20483934.0	False	243100058	4200 N IH 35 UPPER DECK NB HWY	800 N 183 HWY HWY	4200.0	IH 35 UPPER DECK NB	HWY	60.0	False	30.345518	-97.696098	5	0	0	0	2	0	Large passenger vehicle	POINT (-97.69609821 30.34551781)	0	True	False	11/05/2024 01:17:00 AM	11/05/2024 07:17:00 AM	False	False	NaN
213046	1342192	20477538.0	False	243050697	4600 N N IH 35 SB HWY	4500 N AIRPORT TO IH 35 SVRD SB RAMP BLVD	4600.0	N IH 35 SB	HWY	60.0	False	NaN	NaN	5	0	0	0	2	0	Large passenger vehicle & Passenger car	NaN	0	True	False	10/31/2024 12:17:00 PM	10/31/2024 05:17:00 PM	False	False	NaN
213047	1343324	20497780.0	False	243140952	200 E 15TH ST	1500 SAN JACINTO ST	200.0	15TH	ST	35.0	False	30.276165	-97.737122	5	0	0	0	3	0	Large passenger vehicle & Motorcycle	POINT (-97.73712246 30.27616478)	0	False	False	11/09/2024 02:54:00 PM	11/09/2024 08:54:00 PM	False	False	NaN
213048	1341866	20471775.0	False	241250265	1800 E E BEN WHITE EB TO S 35 SB RAMP BLVD	1800 W E BEN WHITE EB TO S 35 SB RAMP BLVD	1800.0	E BEN WHITE EB TO S 35 SB RAMP	BLVD	55.0	False	30.216639	-97.747558	1	1	0	0	0	1	Passenger car	POINT (-97.7475576281157 30.216638652391396)	1	False	False	05/04/2024 03:36:00 AM	05/04/2024 08:36:00 AM	False	False	NaN
213049	1343830	20507809.0	False	243200761	1100 W STASSNEY LN	5600 EMERALD FOREST DR	1100.0	STASSNEY	LN	35.0	False	30.210793	-97.787092	2	0	1	1	2	2	Large passenger vehicle & Passenger car	POINT (-97.78709195 30.21079276)	0	False	False	11/15/2024 12:52:00 PM	11/15/2024 06:52:00 PM	False	False	NaN
213050	1341569	20468979.0	False	242910240	11000 N N IH 35 NB	800 E E BRAKER LN	11000.0	N IH 35 NB	NaN	65.0	True	30.376012	-97.676753	5	0	0	0	6	0	Large passenger vehicle	POINT (-97.67675332 30.376012)	0	True	False	10/17/2024 05:39:00 AM	10/17/2024 10:39:00 AM	False	False	NaN
213051	1344181	20513007.0	False	243241109	13800 N 183 NB TO LAKELINE MALL RAMP	N N 183 NB TO LAKELINE MALL RAMP DR	13800.0	N 183 NB TO LAKELINE MALL RAMP	NaN	65.0	False	30.463085	-97.795392	5	0	0	0	8	0	Large passenger vehicle	POINT (-97.79539243 30.46308472)	0	False	False	11/16/2024 06:03:00 PM	11/17/2024 12:03:00 AM	False	False	NaN
213052	1344010	20510487.0	False	243181555	7300 S IH 35 NB	FOREMOST DR DR	7300.0	S IH 35 NB	NaN	70.0	False	30.174809	-97.780966	5	0	0	0	3	0	Large passenger vehicle	POINT (-97.78096562 30.17480917)	0	True	False	11/13/2024 11:03:00 PM	11/14/2024 05:03:00 AM	False	False	NaN

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category